Titlebook: International Conference on Artificial Intelligence and Sustainable Engineering; Select Proceedings o Goutam Sanyal,Carlos M. Travieso-Gonz

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Performance Evaluation of Image-Based Diseased Leaf Identification Model Using CNN and GA,n be one of them. Here, we have to build a simple CNN disease identification and classification model which unlike deep CNN models this can run even on a system with limited computational capacity without taking much time due to its small size and without compromising on accuracy to a great extent.

有说服力

演讲

Conscientious

CLAIM

Machine Learning-Based Approach for Myocardial Infarction,tack, are done. It is dominantly observed that myocardial infection causes rapid increase in mortality rate day by day, and thereby, it is necessary to develop a model which is efficient and reliable. In this work, four popular noninvasive machine learning classifiers, namely SVM, K-NN, logistic reg

originality

echnic

An Improved Reversible Data Hiding Technique For Encrypted Images Using Difference Error Expansion,image exactly as these were at the time of embedding. In last few years, encryption and reversible data hiding have been combined to explore a new area of research, seeking researchers’ interest in very short span of time. To enhance the payload, this paper presents a novel reversible data hiding te

mastopexy

Assessment of Image Quality Metrics by Means of Various Preprocessing Filters for Lung CT Scan Imagy to clinical research and diagnosis. Although due to the presence of artifacts, noise and blurring effects, the CT images produce a degraded output of the actual part under diagnosis. Hence, application of preprocessing filters on CT images proves crucial to reduce the noise and improve the quality

Intrepid

拾落穗